PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?item ?itemLabel ?coord WHERE {
  ?item wdt:P17 wd:Q159 ; wdt:P625 ?coord ; rdfs:label ?itemLabel ; wdt:P31 ?type .
  ?type wdt:P279 * wd:Q515 .
  FILTER ( LANG( ?itemLabel ) = "en" ) .
  FILTER ( REGEX( ?itemLabel , "pol$" , "i" ) ) .
}
ORDER BY ?itemLabel

I searched Wikidata for items whose country is Russia, that are instances (or subclasses) of city (wd:Q515), have coordinates (P625), and whose English labels end with the suffix "pol". The query returns three items:

- wd:Q7525 — Sevastopol — POINT(33.522500 44.605000)
- wd:Q19566 — Simferopol — POINT(34.100039 44.948376)
- wd:Q5206 — Stavropol — POINT(41.983333 45.050000)

These are the Wikidata item IDs, English labels, and coordinates (WGS84 POINT lon lat) for Russian cities with English names ending in "pol".

What are the cities in Russia whose English names end with "pol", along with their coordinates? Please include the item ID and the item label (in English).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the cities in Russia whose English names end with "pol", along with their coordinates? Please include the item ID and the item label (in English).

[Assistant] Step 1: I'll search for entities whose English labels contain "pol" to find candidate cities (e.g., Sevastopol, Simferopol). I'll start by searching entities matching "pol". I'll use the search_entity tool.

[Tool]
Top 10 entity alternatives:
1. politician, also known as political leader, pol, political figure, polit. (wd:Q82955)
2. Saint-Pol-sur-Ternoise, also known as Pol (wd:Q385527): commune in Pas-de-Calais, France, instance of commune of France
3. Pol (wd:Q1445717): municipality in the province of Lugo, Galicia, Spain, instance of municipality of Galicia
4. Ferdinand Bol, also known as Ferdinard Boll, Ferdinandus Boll, Ferdinandus Bol, Fradinand Bol, Ferdin. Boll (wd:Q374039): Dutch painter (1616-1680), instance of human, art collector, printmaker, painter
5. Pemba Airport, also known as Aeroporto de Pemba, POL, FQPB (wd:Q1392430): instance of commercial traffic aerodrome, instance of cultural heritage, airport in Mozambique, instance of airport
6. voltage regulator module, also known as Point of Load Converter, VRM, processor power module, PPM, POL (wd:Q949101)
7. Pol, also known as Pol language, Pomo (wd:Q36408): instance of modern language, Bantu language of Cameroon, instance of language
8. Planet of Lana, also known as PoL, Planet of Lana: AOED, Planet of Lana – AOED, Planet of Lana - AOED, Planet of Lana: An Off-Earth Odyssey (wd:Q110029355): 2023 video game developed by Wishfully Studios, instance of video game
9. Pyin U Lwin, also known as POL, Pyinoolwin Township, Pyin Oo Lwin Township (wd:Q7263059): instance of human settlement, township in Myanmar
10. /pol/, also known as Politically Incorrect (wd:Q39045417): political discussion board on 4chan, instance of red board

[Assistant] I'll search for relevant properties: "coordinate location" (likely P625) and "country" (likely P17) to verify their IDs. I'll call search_property for "coordinate".

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as gps co-ordinates, wgs 84, gps coordinates, gps location, latitude (wd:P625 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): links coordinate zoological names, subproperty of different from
3. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): coordinates of the place depicted in the work (or Commons image)
4. location map (wd:P1943 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, subproperty of image
5. genomic start, also known as Genloc Start, start coordinate, genomic from, Genloc From, from (wd:P644 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): genomic starting coordinate of the biological sequence (e.g. a gene)
6. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): environment (geographic feature, building type, etc.) the narrative work is set in, subproperty of significant place, subproperty of depicts
7. narrative location, also known as set in location, setting of work, setting, setting location, setting place (wd:P840 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the narrative of the work is set in this location, subproperty of significant place, subproperty of depicts
8. location of discovery, also known as found in, location of discovered object, findspot, place of discovery, site of discovery (wd:P189 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): where the item was located when discovered, subproperty of significant place
9. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): frame of reference used to produce a map
10. coordinates of geographic center, also known as geographic centre, geographic center, geographical midpoint, geographical centre, coordinates of geographic centre (wd:P5140 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, subproperty of coordinate location

[Assistant]
I'll search for Russian cities (instance of city or inhabited place in Russia) whose English labels end with "pol". I'll search for entities with label ending in "pol". QLever search doesn't support regex; I'll search for common names like "Sevastopol", "Simferopol", "Yevpatoria" (doesn't end pol), "Kerch" no. Also "Anapa" no. Possibly "Feodosiya" no. Cities ending with -pol: Sevastopol (Sevastopol), Simferopol (Simferopol), Il'ich-pol? There's "Kropotkin" no. Maybe "Novorossiysk" no. Also "Mariupol" — currently in Ukraine, not Russia. But user asked "cities in Russia whose English names end with 'pol'". That likely includes Sevastopol (wd:Q26912) and Simferopol (Simferopol is the English label of Simferopol, wd:Q34142). Sevastopol — status disputed between Russia and Ukraine but currently administered by Russia; in Wikidata country may be "Russia" or "disputed". Need to check P17 for Sevastopol and Simferopol. Also "Belopol"? There's "Stavropol" — yes ends with 'pol' (Stavropol, wd:Q1208). Stavropol is in Russia. Also "Petropavlovsk-Kamchatsky" doesn't end with pol. "Krasnodar" no. "Tolyatti" no. "Yekaterinopol"? "Ekaterinopol" old name? There's "Izyumopol"? Hmm. Other Russian cities ending with "-pol": "Novocherkassk"? No. "Simferopol", "Sevastopol", "Stavropol". Possibly "Kropotkin"? No. "Lipetsk"? no. "Anapa"? no.

Also "Belogorod" no. There is "Novorossiysk" no. "Dzhankoy" no.

Maybe also "Grozny" no. "Ferapontov"? Not.

Let's search for labels ending with "pol" by searching for "pol" in entity names and then filter for Russia inhabitants. I'll search for entities with "pol" in label. Use search_entity query "pol" but earlier got many. Let's search for "Sevastopol", "Simferopol", "Stavropol", "Mariupol" to confirm.
I'll search for those specific city names to verify their Wikidata IDs and properties.

[Tool]
Top 10 entity alternatives:
1. Sevastopol, also known as Sebastopol, Sewastúpolis, Sewastupolis, Sevastopol', Sevastopil (wd:Q7525): port city in Crimea (Ukraine / Russia), instance of big city
2. Sevastopol (wd:Q614147): instance of pre-dreadnought battleship, 1895 Petropavlovsk-class battleship, instance of ironclad warship
3. Sevastopol, also known as Russian battleship Sevastopol (wd:Q1570972): 1911 Gangut-class battleship, instance of battleship
4. Sevastopol, also known as Town of Sevastopol (wd:Q1886959): civil town in Door County, Wisconsin, instance of civil town of Wisconsin
5. ENS Anwar El Sadat, also known as Sevastopol (Mistral class), Sevastopol, L1020, Anwar al-Sadat, Egyptian ship Anwar al-Sadat (wd:Q15961705): 2014 Mistral-class amphibious assault ship, instance of amphibious assault ship, instance of helicopter carrier
6. Sevastopol (wd:Q18400086): instance of dead-end railway station, railway station in Crimea
7. Sevastopol (wd:Q11314846): instance of patrol vessel, 1976 Krivak-class frigate
8. Sevastopol, also known as Sevastopol, IN, Sevastopol, Indiana (wd:Q7457111): instance of unincorporated community in the United States, unincorporated community in Kosciusko County, Indiana
9. Novosevastopol, also known as Sevastopol (wd:Q19814611): human settlement in Novoorsky District, Orenburg Oblast, Russia, instance of village
10. Rimar, also known as IMO 7822184, Sevastopol (wd:Q52322353): ro-ro/passenger ship built in 1980, instance of ship

[Tool]
Top 10 entity alternatives:
1. Simferopol, also known as Akmescit, Symferopil, Aqmescit (wd:Q19566): instance of administrative territorial entity of the Republic of Crimea, instance of administrative territorial entity of Crimea, instance of city in Ukraine, instance of city or town, instance of big city, city in Crimea
2. Simferopol (wd:Q16697774): village in Karasu District, Kazakhstan, instance of village of Kazakhstan
3. Jupiter intelligence ship, also known as Simferopol, SSW-416, U 511 (wd:Q1329517): instance of intelligence ship, intelligence ship
4. Simferopol (wd:Q119436218): painting by Leonid Pilunski, BBC England, instance of painting
5. Simferopol Raion (wd:Q2237983): instance of municipal district, instance of raion of Ukraine, human settlement in Ukraine
6. Simferopol Passenger (wd:Q2062717): instance of railway station, railway station in Crimea
7. Simferopol tram (wd:Q4419913): instance of tram system
8. Old Simferopol, also known as Old town (Simferopol) (wd:Q96741586): Historic district of Simferopol, Crimea, instance of raion
9. Simferopol Reservoir (wd:Q4419915): instance of reservoir, reservoir in Crimea
10. flag of Simferopol, also known as Simferopol flag (wd:Q4487822): instance of municipal flag

[Tool]
Top 10 entity alternatives:
1. Stavropol, also known as Voroshilovsk (wd:Q5206): instance of administrative territorial entity of Russia, capital city of Stavropol Krai in North Caucaus, Russia, instance of city or town, instance of big city
2. Tolyatti, also known as Stavropol, Stavropol-on-Volga, Togliatti, Tol'yatti (wd:Q1341): city in Samara Oblast, Russia, instance of city
3. Stavropol Governorate, also known as Stavropol (wd:Q7952): governorate of Russian Empire between 1847-1924, instance of governorate of the Russian Empire, instance of governorate
4. Stavropol (wd:Q124839462): instance of painting
5. Stavropol (wd:Q4439005): instance of meteorite, meteorite
6. Stavropol, also known as Stavropol bus station, Stavropol central bus station (wd:Q4504264): Russian central bus station, instance of bus station
7. Stavropol (wd:L452670)
8. Stavropol (wd:L452670-F1)
9. Stavropol Krai (wd:Q5207): first-level administrative division of Russia, instance of krai of Russia
10. 1147 Stavropolis, also known as Stavropolis (wd:Q136458): instance of small Solar System body, instance of asteroid, asteroid

[Assistant] I'll retrieve statements for Sevastopol (wd:Q7525) to check country (P17) and coordinates (P625).

[Tool]
Got 861 rows and 3 columns, showing the first 10 rows below:
| subject               | property                                                    | object                                                                               |
| --------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------ |
| Sevastopol (wd:Q7525) | instance of (wdt:P31)                                       | big city (wd:Q1549591)                                                               |
| Sevastopol (wd:Q7525) | country (wdt:P17)                                           | Russia (wd:Q159)                                                                     |
| Sevastopol (wd:Q7525) | located in the administrative territorial entity (wdt:P131) | Ukrainian Soviet Socialist Republic (wd:Q133356)                                     |
| Sevastopol (wd:Q7525) | coordinate location (wdt:P625)                              | POINT(33.522500 44.605000) (geo:wktLiteral)                                          |
| Sevastopol (wd:Q7525) | Commons category (wdt:P373)                                 | Sevastopol                                                                           |
| Sevastopol (wd:Q7525) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Sevastopol%20Collage%202015.png> |
| Sevastopol (wd:Q7525) | population (wdt:P1082)                                      | 485386 (xsd:decimal)                                                                 |
| Sevastopol (wd:Q7525) | inception (wdt:P571)                                        | 1783-01-01T00:00:00Z (xsd:dateTime)                                                  |
| Sevastopol (wd:Q7525) | described by source (wdt:P1343)                             | The New Student's Reference Work (wd:Q16082057)                                      |
| Sevastopol (wd:Q7525) | official name (wdt:P1448)                                   | Севастополь (ru)                                                                     |
| ...                   | ...                                                         | ...                                                                                |

[Assistant] Sevastopol has country Russia (wd:Q159) and coordinates P625. Now check Simferopol (wd:Q19566).

[Tool]
Got 802 rows and 3 columns, showing the first 10 rows below:
| subject                | property                                                    | object                                                                        |
| ---------------------- | ----------------------------------------------------------- | ----------------------------------------------------------------------------- |
| Simferopol (wd:Q19566) | instance of (wdt:P31)                                       | city in Ukraine (wd:Q12131624)                                              |
| Simferopol (wd:Q19566) | country (wdt:P17)                                           | Russia (wd:Q159)                                                              |
| Simferopol (wd:Q19566) | located in the administrative territorial entity (wdt:P131) | Crimean Autonomous Soviet Socialist Republic (wd:Q139671)                     |
| Simferopol (wd:Q19566) | coordinate location (wdt:P625)                              | POINT(34.100039 44.948376) (geo:wktLiteral)                                   |
| Simferopol (wd:Q19566) | Commons category (wdt:P373)                                 | Simferopol                                                                    |
| Simferopol (wd:Q19566) | image (wdt:P18)                                             | <http://commons.wikimedia.org/wiki/Special:FilePath/Simferopol%20Montage.png> |
| Simferopol (wd:Q19566) | population (wdt:P1082)                                      | 340540 (xsd:decimal)                                                          |
| Simferopol (wd:Q19566) | inception (wdt:P571)                                        | 1784-01-01T00:00:00Z (xsd:dateTime)                                           |
| Simferopol (wd:Q19566) | described by source (wdt:P1343)                             | Pauly–Wissowa (wd:Q1138524)                                                   |
| Simferopol (wd:Q19566) | official name (wdt:P1448)                                   | Aqmescit (crh)                                                                |
| ...                    | ...                                                         | ...                                                                           |

[Assistant] I'll verify the Wikidata item for "city" (likely wd:Q515) before using it. I'll search for the entity "city".

[Tool]
Top 10 entity alternatives:
1. city, also known as cities (wd:Q515)
2. Manchester City F.C., also known as Citizens, The Sky Blues, The Citizens, The Blues, Sky Blues (wd:Q50602): association football club in Manchester, England, instance of association football club
3. Leicester City F.C., also known as The Foxes, Leicester Fosse Football Club, Leicester Fosse FC, Leicester Fosse, Leicester (wd:Q19481): association football club in Leicester, England, instance of association football club
4. Swansea City A.F.C., also known as Swansea City Association Football Club, The Swans, The Jacks, Swansea City AFC, Swansea City (wd:Q18659): association football club in Swansea, Wales, instance of association football club
5. Stoke City F.C., also known as The Potters, Stoke City Football Club, Stoke City FC, Stoke, Stoke City (wd:Q18736): association football club in Stoke-on-Trent, England, instance of association football club
6. Birmingham City F.C., also known as City, BCFC, Blues, Birmingham City Football Club, Birmingham City FC (wd:Q19444): association football club in Birmingham, England, instance of association football club
7. Norwich City F.C., also known as City, The Canaries, Norwich City Football Club, Norwich City FC, Norwich City (wd:Q18721): association football club in Norwich, England, instance of association football club
8. Cardiff City F.C., also known as CCFC, City, The Bluebirds, Cardiff City FC, Cardiff City Football Club (wd:Q18662): association football club in Cardiff, Wales, instance of association football club
9. Hull City A.F.C., also known as Hull, The Tigers, Hull City Association Football Club, Hull City AFC, Hull City (wd:Q19477): association football club in Hull, England, instance of association football club
10. Coventry City F.C., also known as Sky Blues, Coventry City Football Club, Coventry City FC, Coventry City, Coventry (wd:Q19580): association football club in Coventry, England, instance of association football club

[Assistant] I'll search for entities with labels ending with "pol" and located in Russia (P17 wd:Q159). Since search_entity doesn't support suffix matching, I'll construct a SPARQL query to find items whose English label ends with "pol" and country is Russia, and that are instance of city or inhabited place. I'll build such a query and execute it.

[Tool]
Call to function execute returned an error:
failed to parse input: parse error at position 371 for token ( with content '(' (the input most likely does not follow the grammar)

[Tool]
Got 137 rows and 3 columns, showing the first 5 and last 5 rows below:
| item                                                 | itemLabel                                   | coord                                        |
| ---------------------------------------------------- | ------------------------------------------- | -------------------------------------------- |
| Alexander Nevsky Cathedral, Simferopol (wd:Q4061049) | Alexander Nevsky Cathedral, Simferopol (en) | POINT(34.098100 44.952900) (geo:wktLiteral)  |
| Alley of children-heroes, Simferopol (wd:Q96625537)  | Alley of children-heroes, Simferopol (en)   | POINT(34.110208 44.955879) (geo:wktLiteral)  |
| Andreapol (wd:Q103604)                               | Andreapol (en)                              | POINT(32.266667 56.650000) (geo:wktLiteral)  |
| Andreapol (wd:Q110808599)                            | Andreapol (en)                              | POINT(32.263411 56.646295) (geo:wktLiteral)  |
| Andreapol (wd:Q4065388)                              | Andreapol (en)                              | POINT(32.313333 56.643333) (geo:wktLiteral)  |
| ...                                                  | ...                                         | ...                                          |
| Yeropol (wd:Q16648732)                               | Yeropol (en)                                | POINT(168.635000 65.245833) (geo:wktLiteral) |
| Yeropol (wd:Q16648732)                               | Yeropol (en)                                | POINT(165.378221 64.849235) (geo:wktLiteral) |
| Zakharov Square in Sevastopol (wd:Q4365568)          | Zakharov Square in Sevastopol (en)          | POINT(33.536250 44.627514) (geo:wktLiteral)  |
| Zlatopol (wd:Q24728775)                              | Zlatopol (en)                               | POINT(79.270556 52.623611) (geo:wktLiteral)  |
| Zosima and Sabbatius Church, Kargopol (wd:Q4504707)  | Zosima and Sabbatius Church, Kargopol (en)  | POINT(38.936670 61.496809) (geo:wktLiteral)  |

[Assistant] I'll run a SPARQL query that finds items in country Russia (P17 wd:Q159), that have coordinates (P625), are (instance of) a human settlement (P31 with subclass of Q486972), and whose English label ends with "pol". This should return cities/towns in Russia with English labels ending in "pol". I'll execute it now.

[Tool]
Got 19 rows and 3 columns, showing the first 5 and last 5 rows below:
| item                           | itemLabel            | coord                                        |
| ------------------------------ | -------------------- | -------------------------------------------- |
| Andreapol (wd:Q103604)         | Andreapol (en)       | POINT(32.266667 56.650000) (geo:wktLiteral)  |
| Iannopol (wd:Q18778239)        | Iannopol (en)        | POINT(42.685590 58.012489) (geo:wktLiteral)  |
| Kargopol (wd:Q145261)          | Kargopol (en)        | POINT(38.933333 61.500000) (geo:wktLiteral)  |
| Novoostropol (wd:Q19915681)    | Novoostropol (en)    | POINT(128.288722 51.668306) (geo:wktLiteral) |
| Novosevastopol (wd:Q19814611)  | Novosevastopol (en)  | POINT(59.044300 51.769300) (geo:wktLiteral)  |
| ...                            | ...                  | ...                                          |
| Tsvetopol (wd:Q24684093)       | Tsvetopol (en)       | POINT(78.238472 53.194011) (geo:wktLiteral)  |
| Usola-Vonzhepol (wd:Q17298694) | Usola-Vonzhepol (en) | POINT(48.631945 56.358056) (geo:wktLiteral)  |
| Viktoropol (wd:Q21335495)      | Viktoropol (en)      | POINT(38.479200 50.081400) (geo:wktLiteral)  |
| Vonzhepol (wd:Q17298744)       | Vonzhepol (en)       | POINT(48.648333 56.368056) (geo:wktLiteral)  |
| Zlatopol (wd:Q24728775)        | Zlatopol (en)        | POINT(79.270556 52.623611) (geo:wktLiteral)  |

[Tool]
Got 3 rows and 3 columns:
| item                   | itemLabel       | coord                                       |
| ---------------------- | --------------- | ------------------------------------------- |
| Sevastopol (wd:Q7525)  | Sevastopol (en) | POINT(33.522500 44.605000) (geo:wktLiteral) |
| Simferopol (wd:Q19566) | Simferopol (en) | POINT(34.100039 44.948376) (geo:wktLiteral) |
| Stavropol (wd:Q5206)   | Stavropol (en)  | POINT(41.983333 45.050000) (geo:wktLiteral) |

[Assistant] I'll run the final SPARQL query that finds items whose country is Russia (wd:Q159), that are instances (or subclasses) of city (wd:Q515), have coordinates (P625), and whose English label ends with "pol". This will verify the final result set before I present the query and answer.

[Tool]
Got 3 rows and 3 columns:
| item                   | itemLabel       | coord                                       |
| ---------------------- | --------------- | ------------------------------------------- |
| Sevastopol (wd:Q7525)  | Sevastopol (en) | POINT(33.522500 44.605000) (geo:wktLiteral) |
| Simferopol (wd:Q19566) | Simferopol (en) | POINT(34.100039 44.948376) (geo:wktLiteral) |
| Stavropol (wd:Q5206)   | Stavropol (en)  | POINT(41.983333 45.050000) (geo:wktLiteral) |

[Assistant] Now I'll prepare the final SPARQL query and answer, and include explanation of my steps per the instructions.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?event ?eventLabel ?tournament ?tournamentLabel ?date ?year ?country ?countryLabel ?surface ?surfaceLabel ?prizeMoney ?numParticipants WHERE {
  ?event wdt:P1346 wd:Q182736 .
  OPTIONAL {
    ?event rdfs:label ?eventLabel FILTER ( LANG( ?eventLabel ) = "en" )
  }
  OPTIONAL {
    ?event wdt:P361 ?tournament .
    OPTIONAL {
      ?tournament rdfs:label ?tournamentLabel FILTER ( LANG( ?tournamentLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?event wdt:P585 ?date .
    BIND( year( xsd:dateTime ( ?date ) ) AS ?year )
  }
  OPTIONAL {
    ?event wdt:P17 ?country .
    OPTIONAL {
      ?country rdfs:label ?countryLabel FILTER ( LANG( ?countryLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?event wdt:P765 ?surface .
    OPTIONAL {
      ?surface rdfs:label ?surfaceLabel FILTER ( LANG( ?surfaceLabel ) = "en" )
    }
  }
  OPTIONAL {
    ?event wdt:P2121 ?prizeMoney .
  }
  OPTIONAL {
    ?event wdt:P1132 ?numParticipants .
  }
}
ORDER BY ?date ?event

Got 64 rows and 12 columns, showing the first 5 and last 5 columns and the first 5 and last 5 rows below:
| event                                                          | eventLabel                                            | tournament                                           | tournamentLabel                             | date                                | ... | countryLabel        | surface | surfaceLabel | prizeMoney | numParticipants  |
| -------------------------------------------------------------- | ----------------------------------------------------- | ---------------------------------------------------- | ------------------------------------------- | ----------------------------------- | --- | ------------------- | ------- | ------------ | ---------- | ---------------- |
| 1978 Wimbledon Championships – boys' singles (wd:Q17638692)    | 1978 Wimbledon Championships – boys' singles (en)     | 1978 Wimbledon Championships (wd:Q173961)            | 1978 Wimbledon Championships (en)           | 1978-01-01T00:00:00Z (xsd:dateTime) | ... | United Kingdom (en) |         |              |            |                  |
| 1980 Player's Canadian Open – men's singles (wd:Q3654884)      | 1980 Player's Canadian Open – men's singles (en)      | 1980 Player's Canadian Open (wd:Q3654879)            | 1980 Player's Canadian Open (en)            | 1980-01-01T00:00:00Z (xsd:dateTime) | ... | Canada (en)         |         |              |            | 64 (xsd:decimal) |
| 1981 South American Championships – singles (wd:Q3601492)      | 1981 South American Championships – singles (en)      | 1981 South American Championships (wd:Q3601489)      | 1981 South American Championships (en)      | 1981-01-01T00:00:00Z (xsd:dateTime) | ... | Argentina (en)      |         |              |            |                  |
| 1981 Player's Canadian Open – men's singles (wd:Q3654890)      | 1981 Player's Canadian Open – men's singles (en)      | 1981 Player's Canadian Open (wd:Q3654885)            | 1981 Player's Canadian Open (en)            | 1981-01-01T00:00:00Z (xsd:dateTime) | ... | Canada (en)         |         |              |            | 64 (xsd:decimal) |
| 1981 Volvo Masters – singles (wd:Q374293)                      | 1981 Volvo Masters – singles (en)                     | 1981 Volvo Masters (wd:Q4016387)                     | 1981 Volvo Masters (en)                     | 1981-01-01T00:00:00Z (xsd:dateTime) | ... | United Kingdom (en) |         |              |            |                  |
| ...                                                            | ...                                                   | ...                                                  | ...                                         | ...                                 | ... | ...                 | ...     | ...          | ...        | ...              |
| 1991 Volvo Tennis Indoor – singles (wd:Q4016412)               | 1991 Volvo Tennis Indoor – singles (en)               | 1991 Volvo U.S. National Indoor (wd:Q4016410)        | 1991 Volvo U.S. National Indoor (en)        | 1991-01-01T00:00:00Z (xsd:dateTime) | ... |                     |         |              |            | 48 (xsd:decimal) |
| 1991 Norstar Bank Hamlet Challenge Cup – singles (wd:Q4017724) | 1991 Norstar Bank Hamlet Challenge Cup – singles (en) | 1991 Norstar Bank Hamlet Challenge Cup (wd:Q4017727) | 1991 Norstar Bank Hamlet Challenge Cup (en) | 1991-01-01T00:00:00Z (xsd:dateTime) | ... | United States (en)  |         |              |            | 32 (xsd:decimal) |
| 1992 Tokyo Indoor – singles (wd:Q3992361)                      | 1992 Tokyo Indoor – singles (en)                      | 1992 Tokyo Indoor (wd:Q3992359)                      | 1992 Tokyo Indoor (en)                      | 1992-01-01T00:00:00Z (xsd:dateTime) | ... |                     |         |              |            |                  |
| 1993 BMW Open – singles (wd:Q3632045)                          | 1993 BMW Open – singles (en)                          | 1993 BMW Open (wd:Q3353635)                          | 1993 BMW Open (en)                          | 1993-01-01T00:00:00Z (xsd:dateTime) | ... |                     |         |              |            |                  |
| 1993 Tokyo Indoor – singles (wd:Q3992363)                      | 1993 Tokyo Indoor – singles (en)                      | 1993 Tokyo Indoor (wd:Q3992362)                      | 1993 Tokyo Indoor (en)                      | 1993-01-01T00:00:00Z (xsd:dateTime) | ... |                     |         |              |            |                  |

Process and results summary:

1) Find Ivan Lendl's Wikidata item:
- Thought: I needed Ivan Lendl's Q-id to find events he won.
- Action: searched for "Ivan Lendl" in Wikidata and found Ivan Lendl (wd:Q182736).
- Outcome: confirmed wd:Q182736 is the Czech–American tennis player Ivan Lendl.

2) Find events where he is listed as winner:
- Thought: events use property "winner" (P1346). I ran a query to list items with P1346 = wd:Q182736.
- Action: executed a SELECT that returns events where ?event wdt:P1346 wd:Q182736.
- Outcome: the query returned 64 event items where Ivan Lendl is the winner.

3) Inspect event structure and relevant properties:
- Thought: need properties for tournament (part of P361), year/date (P585), country (P17), surface (P765 — "surface played on"), prize money (P2121), and number of participants (P1132).
- Action: I inspected triples for a representative event (1984 French Open – men's singles, wd:Q1082806) and searched for properties "surface", "prize money", and "number of participants" to confirm their property IDs.
- Outcome: confirmed the following properties: surface played on (P765), prize money (P2121), number of participants (P1132), country (P17), date/point in time (P585), and tournament relation via part of (P361).

4) Final query construction and execution:
- Thought: build a query that returns the event IRI (and label), the tournament IRI (and label), the event date and extracted year, country (and label), surface (and label), prizeMoney, and numParticipants. Make these optional so missing data won't drop the row.
- Action: executed the final SPARQL query (provided above). It returns the fields: ?event, ?eventLabel, ?tournament, ?tournamentLabel, ?date, ?year, ?country, ?countryLabel, ?surface, ?surfaceLabel, ?prizeMoney, ?numParticipants.
- Outcome: the query ran successfully and returned 64 rows (one per event Ivan Lendl won). Example rows include 1984 French Open – men's singles (wd:Q1082806), 1987 US Open – men's singles (wd:Q1875686), 1990 Australian Open – men's singles (wd:Q941208), and many ATP tournament singles events spanning his career.

Notes on the returned data:
- For many older tournament-event items, surface, prize money, or number of participants are not always filled in on Wikidata; those columns are empty for such rows.
- Tournament is returned via the "part of" (P361) relation when available.
- Year is extracted from the event's point in time (P585) when present.

What I provide here:
- The exact SPARQL query I used (above). It can be run against the Wikidata endpoint to retrieve the full table of 64 events with the requested fields.
- The query returns the actual IRIs of the event and tournament items as required.

If you want, I can:
- Return the full list of 64 rows formatted as a table in this chat.
- Filter to only Grand Slam events or to a specific time range.
- Export the results as CSV.

Which would you prefer?

What are the events won by the Czech-American tennis player Ivan Lendl, as well as tournament, year, country, surface played on, prize money, and number of participants (all if available)?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the events won by the Czech-American tennis player Ivan Lendl, as well as tournament, year, country, surface played on, prize money, and number of participants (all if available)?

[Assistant] Step 1: I'll search for Ivan Lendl in Wikidata to get his Q-id. Then I'll look for tournament events where he is the winner (property P1346). I'll run intermediate queries to inspect properties of a few tournament items to identify relevant properties for year, country, surface, prize money, and number of participants. I'll explain my reasoning before and after each query.

[Tool]
Top 10 entity alternatives:
1. Ivan Lendl (wd:Q182736): Czech-American tennis player, instance of human, art collector, tennis player, tennis coach, golfer
2. Ivan Lendl career statistics (wd:Q6096799): tennis player career statistics, instance of career statistics
3. Tsar Bomba, also known as RDS 220, RDS-220, Tsar Bomb, Vanya, AN602 (wd:Q188596)
4. Ivaň (wd:Q1282197): village in Prostějov District of Olomouc region, instance of municipality of the Czech Republic
5. Duško Popov, also known as Tricycle, Ivan (wd:Q2409128): Serbian double agent (1912–1981), instance of human, double agent, socialite
6. Ivaň (wd:Q1675716): village in Brno-venkov District of South Moravian region, instance of municipality of the Czech Republic
7. Ivan, also known as Ivan (given name), Ivan (Latin script), Ivan (first name) (wd:Q830350): instance of male given name, male given name
8. Hurricane Ivan, also known as Ivan (wd:Q933067): Category 5 Atlantic hurricane in 2004, instance of Category 5 hurricane
9. Alexander Ivanov, also known as Alyaksandr Viktaravich Ivanow, Ivan, Alyaksandr Ivanow, Alyaksandr Ivanou, Aleksandr Viktorovich Ivanov (wd:Q17198200): Belarusian-Russian singer, instance of human, singer
10. Ivan Ivanov, also known as Ivan Kamenov Ivanov (wd:Q739830): Bulgarian footballer, born 1988, association football player, instance of human

[Assistant] I'll first retrieve items where Ivan Lendl is the winner to inspect their properties and labels. I'll run a query to list such events (limited), then examine one or two items to find the appropriate properties for tournament, year, country, surface, prize money, and number of participants.

[Tool]
Call to function execute returned an error:
failed to parse input: parse error at position 82 for token PNAME_LN with content 'hint:optimizer' (the input most likely does not follow the grammar)

[Assistant] Now I'll query for items where Ivan Lendl (wd:Q182736) is listed as a winner (property P1346). I'll fetch labels in English where available.

[Tool]
Got 64 rows and 2 columns, showing the first 5 and last 5 rows below:
| event                                                       | eventLabel                                        |
| ----------------------------------------------------------- | ------------------------------------------------- |
| 1984 French Open – men's singles (wd:Q1082806)              | 1984 French Open – men's singles (en)             |
| 1982 Volvo Masters – singles (wd:Q15056431)                 | 1982 Volvo Masters – singles (en)                 |
| 1986 Nabisco Masters – singles (wd:Q15215127)               | 1986 Nabisco Masters – singles (en)               |
| 1978 Wimbledon Championships – boys' singles (wd:Q17638692) | 1978 Wimbledon Championships – boys' singles (en) |
| 1987 US Open – men's singles (wd:Q1875686)                  | 1987 US Open – men's singles (en)                 |
| ...                                                         | ...                                               |
| 1986 French Open – men's singles (wd:Q746215)               | 1986 French Open – men's singles (en)             |
| 1986 US Open – men's singles (wd:Q780680)                   | 1986 US Open – men's singles (en)                 |
| 1990 Australian Open – men's singles (wd:Q941208)           | 1990 Australian Open – men's singles (en)         |
| 1987 French Open – men's singles (wd:Q943066)               | 1987 French Open – men's singles (en)             |
| 1985 US Open – men's singles (wd:Q951334)                   | 1985 US Open – men's singles (en)                 |

[Assistant] I'll list triples for a representative event item (1984 French Open – men's singles, wd:Q1082806) to find the properties used for tournament, year, country, surface, prize money, and participants.

[Tool]
Got 93 rows and 3 columns, showing the first 10 rows below:
| subject                                        | property                      | object                                         |
| ---------------------------------------------- | ----------------------------- | ---------------------------------------------- |
| 1984 French Open – men's singles (wd:Q1082806) | instance of (wdt:P31)         | tennis event (wd:Q46190676)                    |
| 1984 French Open – men's singles (wd:Q1082806) | country (wdt:P17)             | France (wd:Q142)                               |
| 1984 French Open – men's singles (wd:Q1082806) | part of (wdt:P361)            | 1984 French Open (wd:Q924193)                  |
| 1984 French Open – men's singles (wd:Q1082806) | sport (wdt:P641)              | tennis (wd:Q847)                               |
| 1984 French Open – men's singles (wd:Q1082806) | follows (wdt:P155)            | 1983 French Open – men's singles (wd:Q2714991) |
| 1984 French Open – men's singles (wd:Q1082806) | followed by (wdt:P156)        | 1985 French Open – men's singles (wd:Q519237)  |
| 1984 French Open – men's singles (wd:Q1082806) | point in time (wdt:P585)      | 1984-01-01T00:00:00Z (xsd:dateTime)            |
| 1984 French Open – men's singles (wd:Q1082806) | winner (wdt:P1346)            | Ivan Lendl (wd:Q182736)                        |
| 1984 French Open – men's singles (wd:Q1082806) | competition class (wdt:P2094) | men's singles (wd:Q16893072)                   |
| 1984 French Open – men's singles (wd:Q1082806) | Freebase ID (wdt:P646)        | /m/0bh7hv                                      |
| ...                                            | ...                           | ...                                            |

[Assistant] I'll search for the property that represents the playing surface (e.g., 'surface' or 'playing surface') in Wikidata to ensure I use the correct property.

[Tool]
Top 10 property alternatives:
1. surface played on, also known as playing surface (wd:P765 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the surface on which a sporting event is played
2. playing hand, also known as tennis hand (wd:P741 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): hand used to play a racket sport, cricket, fencing, or curling
3. has surface (wd:P10614 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the object is the 2-dimensional surface that partly or completely surrounds the subject in 3-dimensional space
4. Tennis Abstract player ID, also known as tennisabstract.com player ID, tennisabstract.com player identifier, Tennis Abstract player identifier (wd:P10028 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a player at tennisabstract.com
5. area, also known as acreage, total area, surface area, surface, size (wd:P2046 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): area occupied by an object
6. Tennis Temple player ID, also known as tennistemple.com player ID, tennistemple.com player identifier, Tennis Temple player identifier (wd:P4544 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a player on the Tennis Temple website
7. Wimbledon player ID (wd:P4503 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a tennis player on the Wimbledon website, in the archive section
8. ATP player ID, also known as ATP ID, ATP identifier, ATP player identifier (wd:P536 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): ATP tennis male player identifier
9. Davis Cup player ID, also known as Davis Cup player identifier (wd:P2641 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a tennis player, in the Davis Cup database
10. ITF player ID 2020, also known as International Tennis Federation player identifier 2020, ITF player identifier 2020, International Tennis Federation player ID 2020 (wd:P8618 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a tennis player at the International Tennis Federation (ITF) website as of 2020

[Assistant] The property for surface played on is wdt:P765. Prize money likely uses property 'prize money' (P166?) Let's search for prize money property.

[Tool]
Top 10 property alternatives:
1. prize money, also known as money, purse, value (wd:P2121 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): amount in a specific currency
2. league or competition, also known as cup, tournament, sports league, division, competition (wd:P118 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): league or competition in which team or player has played, or in which an event occurs, subproperty of participant in
3. tournament format, also known as tournament system (wd:P8127 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): format of a sports tournament
4. tournament type (wd:P11964 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): significance or status of a sports competition for a league, tour, association, etc.
5. award received, also known as winner of, win, recognition title, received award, award won (wd:P166 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): award or recognition received by a person, organization or creative work
6. OnsOranje tournament ID (wd:P5162 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a tournament in the database of OnsOranje
7. ITF tournament ID (wd:P6841 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): identifier for a tennis tournament edition in the International Tennis Federation database
8. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, subproperty of participating team, subproperty of participant
9. sports season of league or competition, also known as sport season, seasons of, season of sports tournament, season of sports league, season of sports competition (wd:P3450 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): property that shows the competition of which the item is a season. Use P5138 for "season of club or team"., subproperty of part of
10. points for, also known as pf, PTS, points, league points, competition points (wd:P1358 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of points in a league table or decathlon. (Use P1351 for goals/points in a match)

[Assistant] I'll search for the Wikidata property for number of participants to use in the query.

[Tool]
Top 10 property alternatives:
1. number of participants, also known as qty participants, number of competitors, participants, participant count, number of teams (wd:P1132 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), subproperty of quantity
2. league or competition, also known as cup, tournament, sports league, division, competition (wd:P118 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): league or competition in which team or player has played, or in which an event occurs, subproperty of participant in
3. tournament format, also known as tournament system (wd:P8127 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): format of a sports tournament
4. number of players in region, also known as number of people practicing sport, number of sportspersons, number of sportspeople, number of registered players (wd:P4909 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of registered players in a sport or people practicing a sport in a region
5. participant, also known as suspect, player, party, participants, has participant (wd:P710 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): person, group of people or organization (object) that actively t...ct has role" (P3831). Use P1923 for participants that are teams., subproperty of significant person
6. participant in, also known as participated in, present at, takes part, took part, took part in (wd:P1344 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): event in which a person or organization was/is a participant; inverse of P710 or P1923, subproperty of significant event, subproperty of part of
7. tournament type (wd:P11964 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): significance or status of a sports competition for a league, tour, association, etc.
8. prize money, also known as money, purse, value (wd:P2121 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): amount in a specific currency
9. maximum number of players, also known as maximum players, max players, number of players, maximum, players max, players, maximum number (wd:P1873 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): maximum numbers of players of a game
10. minimum number of players, also known as players, minimum number, number of players, minimum, minimum players (wd:P1872 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): minimum numbers of players of a game

[Assistant]
We have P765 (surface played on), P2121 (prize money), P1132 (number of participants), P17 (country), P585 (point in time) or P580/P582 for start/end dates. For tournament name, event items often have 'part of' (P361) linking to the edition item (e.g., 1984 French Open). The 'part of' object might be the tournament; we can include both ''part of'' and its label.

Now I'll construct a SPARQL query retrieving for every event where Ivan Lendl (wd:Q182736) is winner: the event IRI (?event), event label, tournament (?tournament via P361 and label), year (from P585 or from tournament's year), country (P17), surface (P765), prize money (P2121), number of participants (P1132). I'll include optional clauses for properties that may be missing. I'll also get the year as a year extracted from ?date using YEAR() function — but rule 6 says all computation should be done solely within SPARQL, that's fine. Finally, ensure query returns identifiers/IRIs. I'll run it.

[Tool]
Got 64 rows and 12 columns, showing the first 5 and last 5 columns and the first 5 and last 5 rows below:
| event                                                          | eventLabel                                            | tournament                                           | tournamentLabel                             | date                                | ... | countryLabel        | surface | surfaceLabel | prizeMoney | numParticipants  |
| -------------------------------------------------------------- | ----------------------------------------------------- | ---------------------------------------------------- | ------------------------------------------- | ----------------------------------- | --- | ------------------- | ------- | ------------ | ---------- | ---------------- |
| 1978 Wimbledon Championships – boys' singles (wd:Q17638692)    | 1978 Wimbledon Championships – boys' singles (en)     | 1978 Wimbledon Championships (wd:Q173961)            | 1978 Wimbledon Championships (en)           | 1978-01-01T00:00:00Z (xsd:dateTime) | ... | United Kingdom (en) |         |              |            |                  |
| 1980 Player's Canadian Open – men's singles (wd:Q3654884)      | 1980 Player's Canadian Open – men's singles (en)      | 1980 Player's Canadian Open (wd:Q3654879)            | 1980 Player's Canadian Open (en)            | 1980-01-01T00:00:00Z (xsd:dateTime) | ... | Canada (en)         |         |              |            | 64 (xsd:decimal) |
| 1981 South American Championships – singles (wd:Q3601492)      | 1981 South American Championships – singles (en)      | 1981 South American Championships (wd:Q3601489)      | 1981 South American Championships (en)      | 1981-01-01T00:00:00Z (xsd:dateTime) | ... | Argentina (en)      |         |              |            |                  |
| 1981 Player's Canadian Open – men's singles (wd:Q3654890)      | 1981 Player's Canadian Open – men's singles (en)      | 1981 Player's Canadian Open (wd:Q3654885)            | 1981 Player's Canadian Open (en)            | 1981-01-01T00:00:00Z (xsd:dateTime) | ... | Canada (en)         |         |              |            | 64 (xsd:decimal) |
| 1981 Volvo Masters – singles (wd:Q374293)                      | 1981 Volvo Masters – singles (en)                     | 1981 Volvo Masters (wd:Q4016387)                     | 1981 Volvo Masters (en)                     | 1981-01-01T00:00:00Z (xsd:dateTime) | ... | United Kingdom (en) |         |              |            |                  |
| ...                                                            | ...                                                   | ...                                                  | ...                                         | ...                                 | ... | ...                 | ...     | ...          | ...        | ...              |
| 1991 Volvo Tennis Indoor – singles (wd:Q4016412)               | 1991 Volvo Tennis Indoor – singles (en)               | 1991 Volvo U.S. National Indoor (wd:Q4016410)        | 1991 Volvo U.S. National Indoor (en)        | 1991-01-01T00:00:00Z (xsd:dateTime) | ... |                     |         |              |            | 48 (xsd:decimal) |
| 1991 Norstar Bank Hamlet Challenge Cup – singles (wd:Q4017724) | 1991 Norstar Bank Hamlet Challenge Cup – singles (en) | 1991 Norstar Bank Hamlet Challenge Cup (wd:Q4017727) | 1991 Norstar Bank Hamlet Challenge Cup (en) | 1991-01-01T00:00:00Z (xsd:dateTime) | ... | United States (en)  |         |              |            | 32 (xsd:decimal) |
| 1992 Tokyo Indoor – singles (wd:Q3992361)                      | 1992 Tokyo Indoor – singles (en)                      | 1992 Tokyo Indoor (wd:Q3992359)                      | 1992 Tokyo Indoor (en)                      | 1992-01-01T00:00:00Z (xsd:dateTime) | ... |                     |         |              |            |                  |
| 1993 BMW Open – singles (wd:Q3632045)                          | 1993 BMW Open – singles (en)                          | 1993 BMW Open (wd:Q3353635)                          | 1993 BMW Open (en)                          | 1993-01-01T00:00:00Z (xsd:dateTime) | ... |                     |         |              |            |                  |
| 1993 Tokyo Indoor – singles (wd:Q3992363)                      | 1993 Tokyo Indoor – singles (en)                      | 1993 Tokyo Indoor (wd:Q3992362)                      | 1993 Tokyo Indoor (en)                      | 1993-01-01T00:00:00Z (xsd:dateTime) | ... |                     |         |              |            |                  |

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT DISTINCT ?candidate ?candidateLabel WHERE {
  ?election wdt:P31 wd:Q93306595 .
  ?election wdt:P726 ?candidate .
  OPTIONAL {
    ?candidate rdfs:label ?candidateLabel FILTER ( LANG( ?candidateLabel ) = "en" )
  }
}
ORDER BY ?candidateLabel

Got 9 rows and 2 columns:
| candidate                            | candidateLabel             |
| ------------------------------------ | -------------------------- |
| Andreas Erakleous (wd:Q93341860)     | Andreas Erakleous (en)     |
| Andreas Gavrielides (wd:Q93340742)   | Andreas Gavrielides (en)   |
| Antonis Kiprianou (wd:Q96279025)     | Antonis Kiprianou (en)     |
| Evripides Pavlou (wd:Q93307426)      | Evripides Pavlou (en)      |
| Georgios Tsanos (wd:Q93309697)       | Georgios Tsanos (en)       |
| Kyriakos Xydias (wd:Q29451269)       | Kyriakos Xydias (en)       |
| Marios Oratis (wd:Q93341859)         | Marios Oratis (en)         |
| Panicos Louroutziatis (wd:Q93307419) | Panicos Louroutziatis (en) |
| Pavlos Pavlou (wd:Q93341858)         | Pavlos Pavlou (en)         |

Distinct candidates for the Mayor of Germasogeia Municipality Elections (from Wikidata):
- wd:Q93341860 — Andreas Erakleous
- wd:Q93340742 — Andreas Gavrielides
- wd:Q96279025 — Antonis Kiprianou
- wd:Q93307426 — Evripides Pavlou
- wd:Q93309697 — Georgios Tsanos
- wd:Q29451269 — Kyriakos Xydias
- wd:Q93341859 — Marios Oratis
- wd:Q93307419 — Panicos Louroutziatis
- wd:Q93341858 — Pavlos Pavlou

Who are the distinct candidates for the Mayor of Germasogeia Municipality Elections?

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who are the distinct candidates for the Mayor of Germasogeia Municipality Elections?

[Assistant] I will search Wikidata for the Germasogeia municipality entity, then find elections for mayor of that municipality and list distinct candidates. I'll start by finding the Wikidata item for Germasogeia.

[Tool]
Top 10 entity alternatives:
1. Germasogeia, also known as Yermasoyia Municipality, Germasogeia Municipality (wd:Q349340): municipality of Limassol District, Republic of Cyprus, instance of municipalities of Cyprus Republic, instance of human settlement
2. Germasogeia Municipality municipal elections (wd:Q93306512)
3. Mayor of Germasogeia Municipality (wd:Q54865660)
4. Mayor of Germasogeia Municipality Elections (wd:Q93306595)
5. Municipal Councillor of Germasogeia Municipality (wd:Q93306914)
6. 2006 Mayor of Germasogeia Municipality Elections (wd:Q93307086): instance of Mayor of Germasogeia Municipality Elections, instance of 2006 Cypriot Mayors Elections, 4th election of Mayor of Germasogeia
7. 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088): instance of Mayor of Germasogeia Municipality Elections, instance of 2011 Cypriot Mayors Elections, 5th election of Mayor of Germasogeia
8. 2001 Mayor of Germasogeia Municipality Elections (wd:Q93307085): instance of Mayor of Germasogeia Municipality Elections, instance of 2001 Cypriot Mayors Elections, 3rd election of Mayor of Germasogeia
9. 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089): instance of Mayor of Germasogeia Municipality Elections, instance of 2016 Cypriot Mayors Elections, 6th election of Mayor of Germasogeia
10. 1994 Mayor of Germasogeia Municipality Elections (wd:Q96279006): instance of Mayor of Germasogeia Municipality Elections, 1st election of Mayor of Germasogeia

[Assistant] I'll search for the property used for election candidates and verify how candidates are represented for the Germasogeia mayor elections items.

[Tool]
Top 10 property alternatives:
1. candidacy in election, also known as election candidacy, running in election, ran in election, candidate in election, candidate in (wd:P3602 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): election where the subject is a candidate, subproperty of participant in
2. candidate, also known as electoral candidate, has election candidate, election has candidate, candidate in this election (wd:P726 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): person or party that is an option for an office in this election, subproperty of participant
3. elected in, also known as election, re-elected in (wd:P2715 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): election in which a person gained a position (as qualifier), or a position or legislative term is/was elected (as main value)
4. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): person(s) or political organization(s) elected after the election, subproperty of candidate, subproperty of winner
5. position held, also known as function, held position, holds position, job, office held (wd:P39 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): subject currently or formerly holds the object position or public office
6. eligible voters, also known as registered voters, total voters, voters eligible (wd:P1867 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of eligible voters for a particular election
7. voting system, also known as electoral system, type of election, voting system (wd:P8196 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): system used for this election or vote
8. candidate number, also known as candidate ID, election candidate number, ID of candidate, number of candidate (wd:P4243 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): number of the candidate in an election
9. elector, also known as eligible voters, qualified voters, type of electors (wd:P2319 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): people or other entities which are qualified to participate in the subject election
10. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): persons who hold and/or held the position

[Assistant] Property P726 (candidate) looks like the right one to find candidates of an election item. I'll inspect one of the mayor elections items to see how candidates are recorded. I'll open the 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088).

[Tool] Got no rows and 4 columns

[Tool]
Got 44 rows and 3 columns, showing the first 10 rows below:
| subject                                                         | property                            | object                                                          |
| --------------------------------------------------------------- | ----------------------------------- | --------------------------------------------------------------- |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | instance of (wdt:P31)               | 2011 Cypriot Mayors Elections (wd:Q92320908)                    |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | country (wdt:P17)                   | Cyprus (wd:Q229)                                                |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | follows (wdt:P155)                  | 2006 Mayor of Germasogeia Municipality Elections (wd:Q93307086) |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | followed by (wdt:P156)              | 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | applies to jurisdiction (wdt:P1001) | Germasogeia (wd:Q349340)                                        |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | point in time (wdt:P585)            | 2011-12-18T00:00:00Z (xsd:dateTime)                             |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | candidate (wdt:P726)                | Kyriakos Xydias (wd:Q29451269)                                  |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | office contested (wdt:P541)         | Mayor of Germasogeia Municipality (wd:Q54865660)                |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | successful candidate (wdt:P991)     | Andreas Gavrielides (wd:Q93340742)                              |
| 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088) | ballots cast (wdt:P1868)            | 4636 (xsd:decimal)                                              |
| ...                                                             | ...                                 | ...                                                             |

[Assistant] I'll search for items that are instances of Mayor of Germasogeia Municipality Elections (wd:Q93306595) and list their candidates using property P726, then return distinct candidate items. I'll craft a SPARQL query that finds all elections of that class and gets their P726 values, returning distinct candidates and their labels.

[Tool]
Got 9 rows and 2 columns:
| candidate                            | candidateLabel             |
| ------------------------------------ | -------------------------- |
| Andreas Erakleous (wd:Q93341860)     | Andreas Erakleous (en)     |
| Andreas Gavrielides (wd:Q93340742)   | Andreas Gavrielides (en)   |
| Antonis Kiprianou (wd:Q96279025)     | Antonis Kiprianou (en)     |
| Evripides Pavlou (wd:Q93307426)      | Evripides Pavlou (en)      |
| Georgios Tsanos (wd:Q93309697)       | Georgios Tsanos (en)       |
| Kyriakos Xydias (wd:Q29451269)       | Kyriakos Xydias (en)       |
| Marios Oratis (wd:Q93341859)         | Marios Oratis (en)         |
| Panicos Louroutziatis (wd:Q93307419) | Panicos Louroutziatis (en) |
| Pavlos Pavlou (wd:Q93341858)         | Pavlos Pavlou (en)         |

[Assistant] The query returned 9 distinct candidates across mayor elections. I'll finalize by returning a SPARQL query that lists distinct candidate IRIs (and optional labels) for all Mayor of Germasogeia Municipality Elections, and provide the candidate list as the answer. Per instructions, I need to explain my steps before calling the final answer function; I already provided explanation during the process. Now I'll provide the final answer with the final SPARQL query and the list of candidates.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( DISTINCT ?person ) AS ?count ) WHERE {
  ?person wdt:P31 wd:Q5 ; wdt:P21 wd:Q6581072 ; wdt:P19 ?birthplace .
  ?birthplace ( wdt:P131 | wdt:P17 ) * wd:Q668 .
}

Explanation of steps:
1) Identified relevant items/properties: human = wd:Q5 (P31), sex or gender = wd:P21 with value female = wd:Q6581072, place of birth = wd:P19, India = wd:Q668. To include people born in cities/regions inside India, I followed administrative chain P131 and country P17 from the birthplace to India using a property path.
2) Executed the SPARQL query below (shown in the sparql field).
3) Result: The query returned a single count: 8632.

Answer: According to Wikidata (queried here), 8632 women were born in India.

Note: Wikidata is incomplete and constantly changing; this number reflects the current state of the dataset at the time of the query.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You are provided with some general notes:
No notes available

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
qlss: <https://qlever.cs.uni-freiburg.de/spatialSearch/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Search for the entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Execute intermediate queries to get feedback and to verify your assumptions. You may need to refine or rethink your current plan based on the query results and go back to step 2 if needed, possibly multiple times.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not just use or make up entity or property identifiers without verifying their existence in the knowledge graphs first.
3. Always execute your final SPARQL query before giving an answer to make sure it returns the expected results.
4. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
5. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
6. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
7. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
8. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] How many women were born in India?

[Assistant]
Step 1 — plan and identify likely entities/properties:
- I expect to use: instance of human (wd:Q5, property wdt:P31), sex or gender (wdt:P21) with value female (likely wd:Q6581072), place of birth (wdt:P19), and India (likely wd:Q668). I'll verify these identifiers and the relevant properties in the knowledge graph.

I'll now search for the entities and properties to verify their identifiers. I'll start by searching for "India", "female", and "human", then search for the properties "place of birth", "sex or gender", and "country".

[Tool]
Top 10 entity alternatives:
1. India, also known as Hindustan, IND, IN, Indostan, Republic of India (wd:Q668): instance of constitutional republic, instance of democratic republic, instance of federal republic, instance of sovereign state, country in South Asia, instance of republic, instance of country
2. British Raj, also known as India, India, British, Hindoostan, Indian Empire, Indian Raj (wd:Q129286): British colonial rule on the Indian subcontinent (1858–1947), instance of colony
3. Dominion of India, also known as India, Union of India (wd:Q1775277): period of Indian history between 1947 and 1950, instance of dominion of the British Empire
4. India Summer, also known as Jody Jean Bell, India Summers, India Sumer, Jody Jean Olson, Sabrina Stifferstem (wd:Q433047): American pornographic actress, erotic photography model, pornographic actor, instance of human, film director, fetish model, film actor, actor, model
5. Indian National Developmental Inclusive Alliance, also known as INDI Alliance, INDIA, I.N.D.I.A. (wd:Q120739928): big-tent opposition coalition led by the Indian National Congress founded in 2023, instance of political coalition, instance of political alliance
6. British India, also known as British rule in India, India - British, India (wd:Q112660052): British colonial rule on the Indian subcontinent, instance of colony
7. La India, also known as Linda Viera Caballero, India, Linda Caballero (wd:Q441805): American-Puerto Rican recording artist; singer, salsa musician, instance of human, recording artist, salsa musician, singer
8. India (wd:Q2060630): cat owned by USA presidential Bush family, instance of house cat
9. India, also known as India Morel, Shamika Brown (wd:Q274592): American pornographic actress and rapper, pornographic actor, instance of human, film actor, singer, rapper, actor
10. Piriyapatna, also known as India, Piriyāpatna (wd:Q2738759): human settlement in Mysore district, Mysore division, Karnataka, India, instance of human settlement

[Assistant] India is wd:Q668. Now search for "female" and "human".

[Tool]
Top 10 entity alternatives:
1. female organism, also known as female animal, female creature, sex — female, ♀, female (wd:Q43445)
2. Female (wd:Q639354): 1933 Warner Bros. pre-code film, instance of film
3. female, also known as human female, female person, girls, girl, fem (wd:Q6581072): to be used in "sex or gender" (P21) to indicate that the human s...nder" (P10339) to indicate that a word refers to a female person, instance of sex of humans, instance of gender
4. Female, also known as Fîmeiru ,(Female) (wd:Q5442715): 2005 film directed by Shinya Tsukamoto, instance of film
5. The Female, also known as Female (wd:Q18708947): 1924 film by Sam Wood, instance of film
6. female connector, also known as female fastener, female contact, female (wd:Q11659367)
7. Female (wd:Q47128284): song by Keith Urban, instance of single, instance of song
8. Female (wd:Q5442717): 1933 novel by Donald Henderson Clarke, instance of literary work
9. Female (wd:Q63650079): theatrical character in the play "Yerma", instance of theatrical character
10. Female (wd:Q130232348)

[Assistant] I'll search for the properties "place of birth" and "sex or gender" to verify their identifiers before building queries. First: "place of birth".

[Tool]
Top 10 property alternatives:
1. place of birth, also known as location born, POB, location of birth, born in, born at (wd:P19 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): most specific known birth location of a person, animal or fictional character, subproperty of location
2. date of birth, also known as year of birth, DOB, born on, birthyear, born (wd:P569 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): date on which the subject was born, subproperty of inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the object is a country that recognizes the subject as its citizen, subproperty of country
4. birthday, also known as birth day, b-day, bday (wd:P3150 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., subproperty of date of birth
5. birth name, also known as name at birth, name before marriage, ne, né, nee (wd:P1477 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): full name of a person at birth, if different from their current, generally used name, subproperty of name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): category item that groups people born in this place, subproperty of related category
7. valid in place, also known as country, valid in territory, valid in location, true in, applies to place (wd:P3005 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): place where a statement is valid, subproperty of applies to part
8. country of origin, also known as comes from, place of origin, origin country, originates from, country (wd:P495 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): country of origin of this item (creative work, food, phrase, product, etc.), subproperty of significant place, subproperty of country
9. country, also known as state, sovereign state, land, host country (wd:P17 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): sovereign state that this item is in (not to be used for human beings), subproperty of located in the administrative territorial entity
10. commemorates, also known as anniversary of, monument to, memorial to, memorializes, marks (wd:P547 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): what the place, monument, memorial, or holiday, commemorates, subproperty of main subject

[Assistant] Property place of birth is wd:P19. Next, "sex or gender".

[Tool]
Top 10 property alternatives:
1. sex or gender, also known as biological sex, gender, gender expression, gender identity, gender or sex (wd:P21 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
2. grammatical gender, also known as gender (wd:P5185 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): grammatical gender of the word
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. sexual orientation, also known as sexuality (wd:P91 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): the sexual orientation of the person relative to their declared ...r it has been widely agreed upon by historians after their death
8. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): female form of name or title (for male use P3321)
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): male form of name or title (for female use P2521)
10. given name version for other gender, also known as female form of name, female version of this male given name, gender inflection of given name, male form of name, male version of this female given name (wd:P1560 as psv/psn/prn/prv/pqn/p/pq/wdtn/wdt/pqv/ps/pr): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

[Assistant]
Property sex or gender is wd:P21. The user asked "How many women were born in India?" This is an aggregate count. Steps: Count humans (wd:Q5) with sex or gender female (wd:Q6581072) and place of birth India (wd:Q668) OR place of birth located in India? The property P19 points to specific place (city, region). People born in India could have P19 = India directly (some have), but many people have P19 = city that is located in India. We need to count people whose place of birth is within India (e.g., place of birth located in India). To capture people born in India we should check place of birth (P19) and then check whether that place is located in India, e.g., with "country" or "located in the administrative territorial entity" or "located in the country" P17? For places, P17 is country property indicating country of a place. So we can query people where ?birthplace wdt:P17 wd:Q668. Also include direct P19 = wd:Q668. Also need instance of human wdt:P31 wd:Q5. And sex/gender wdt:P21 wd:Q6581072.

Construct query to count distinct ?person.

We must follow additional rules: explain thought process before and after each step and function call. And must execute intermediate queries to verify assumptions. So need to call execute to run some queries. We'll do stepwise:

1. Verify female id wd:Q6581072 exists (we already searched above showing it's Q6581072). Maybe list the entity to verify? Not necessary but rule 2 says do not just use identifiers without verifying existence. We did search. Good.

2. Build a simple query: count people with P21 = female and P19 = ?birthplace where ?birthplace wdt:P17 wd:Q668 OR ?birthplace = wd:Q668.

But need to confirm many items. Let's craft a COUNT query:

SELECT (COUNT(DISTINCT ?person) AS ?count) WHERE {
  ?person wdt:P31 wd:Q5;
          wdt:P21 wd:Q6581072;
          wdt:P19 ?birthplace.
  { ?birthplace wdt:P17 wd:Q668. }
  UNION
  { BIND(wd:Q668 AS ?birthplace). }
}

But union uses same variable - but it's okay. But second pattern binds birthplace to India, counting those with P19 = India. But if someone's P19 is India, the birthplace variable would be wd:Q668 and then second branch matches. But the first branch matches places with P17 India. Also there are cases birthplace is a nested administrative entity with P131? But P17 should capture country property for places (e.g., city P17 India). But some places may not have P17 but located in India via P131 chain. To be more complete, we can check ?birthplace wdt:P17 wd:Q668 OR ?birthplace wdt:P131* ?adm . But P131 is located in administrative territorial entity; we could traverse to top-level and then P17 = India. That gets complicated. Another approach: use wdt:P19 ?birthplace . Then check that ?birthplace is 'located in the administrative territorial entity' P131 chain leading to India or its country P17. We can use property path: ?birthplace (wdt:P17|wdt:P131)+ wd:Q668. But P17 points to country entity; P131 points to admin entity. We want to check if birthplace is in India, meaning following zero or more P131 to some place whose P17 is India or equals India. But SPARQL property path can do: ?birthplace (wdt:P131)* ?place. But can't easily check P17 on result. Simpler: check if ?birthplace wdt:P17 wd:Q668 OR ?birthplace wdt:P131+ ?admin . ?admin wdt:P17 wd:Q668. But property path can be used: ?birthplace (wdt:P131)* ?place . ?place wdt:P17 wd:Q668. But need to include the case birthplace itself is India, so include P17? If birthplace is India, then ?birthplace wdt:P17 wd:Q668 might not be true (India's P17 is not India). But birthplace being India means ?birthplace = wd:Q668. That will satisfy if we allow place = ?birthplace and check if place wd:Q668. Using property path: ?birthplace (wdt:P131)* ?place . Then FILTER(?place = wd:Q668 || ?place wdt:P17? No. Wait: If we start with ?birthplace (wdt:P131)* ?place . If ?birthplace = wd:Q668, then path length 0 gives ?place = wd:Q668; but we need to ensure ?place equals India OR ?place wdt:P17 wd:Q668? However for typical cities, following P131 chains eventually reach state or country, but many items have P17 directly to India. Better approach:

?person wdt:P19 ?birthplace .
?birthplace (wdt:P131|wdt:P17)* ?place .
FILTER(?place = wd:Q668)

This path allows zero-length? In property path, * is zero or more. So if ?birthplace = wd:Q668 then ?place can be wd:Q668 with zero steps. For a city that has P17 wd:Q668, then ?birthplace wdt:P17 ?place where ?place=wd:Q668. For a city that has P131 chain to state which has P17 India, need path includes both P131 and P17. Using (wdt:P131|wdt:P17)* allows sequences of P131 and P17 edges to reach India.

So construct:

?person wdt:P31 wd:Q5; wdt:P21 wd:Q6581072; wdt:P19 ?birthplace.
?birthplace (wdt:P131|wdt:P17)* wd:Q668.

Yes.

Now we must explain thought process, then run the query. Then present result. And final query must return actual identifiers/IRIs of items in result. Our query returns count literal. It will be fine.

We must execute final SPARQL query before giving answer.

Also follow rule: explain thought process before and after each step and function call. That is verbose. Must explain before calling execute and after results.

Let's prepare explanation, then call functions.execute with the query.

I'll run a SPARQL COUNT query that finds humans (wd:Q5) whose sex or gender (P21) is female (wd:Q6581072) and whose place of birth (P19) is located in India (wd:Q668). To capture places born in cities or regions within India, I'll follow P131 (located in the administrative territorial entity) and P17 (country) paths from the birthplace to India using a property path (wdt:P131|wdt:P17)* so we include direct birthplace = India as well as nested administrative chains. Now I'll execute the query.

[Tool]
Got 1 row and 1 column:
| count          |
| -------------- |
| 8632 (xsd:int) |

[Assistant] I will now provide the final SPARQL query I executed, explain the steps, and give the numeric result returned by the query.

[Tool] Stopped generation process